Lead Software Engineer - MLOps Platform

Out of the successful launch of Chase in 2021, we’re a new team, with a new mission. We’re creating products that solve real world problems and put customers at the center - all in an environment that nurtures skills and helps you realize your potential. Our team is key to our success. We’re people-first. We value collaboration, curiosity and commitment.

Job Responsibilities

• Design and develop a scalable ML platform to support model training, deployment, and monitoring.
• Build and maintain infrastructure for automated ML pipelines, ensuring reliability and reproducibility supporting different model frameworks and architectures.
• Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management.
• Develop systems for monitoring model performance, addressing data drift and model drift.
• Collaborate with data scientists and engineers to devise model integration/deployment patterns and best practices.
• Optimize resource utilization for training and inference workloads.
• Designing and implementing a framework for effective tests strategies (unit, component, integration, end-to-end, performance, champion/challenger, etc).
• Ensure platform compliance with data privacy, security, and regulatory standards.
• Mentor team members on platform design principles and best practices.
• Mentor other team members on coding practices, design principles, and implementation patterns that lead to high-quality maintainable solutions.

Required Qualifications, Capabilities And Skills

• Proficiency in coding in recent versions of Java and/or Python programming languages.
• Experience with MLOps tools and platforms (e.g., MLflow, Amazon SageMaker, Google VertexAI, Databricks, BentoML, KServe, Kubeflow).
• Experience with cloud technologies (AWS/Azure/GCP) and distributed systems, web technologies and event drive architectures.
• Understanding of data versioning and ML models lifecycle management.
• Hands-on experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
• Knowledge of infrastructure-as-code tools (e.g., Terraform, Ansible).
• Strong knowledge of containerization and orchestration tools (e.g. Docker, Kubernetes).
• Proficiency in operating, supporting, and securing mission critical software applications.

Preferred Qualifications, Capabilities And Skills

• Exposure to cloud-native microservices architecture.
• Familiarity with advanced AI/ML concepts and protocols, such as Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP).
• Familiarity with model serving frameworks (e.g., TensorFlow Serving, FastAPI).
• Exposure to feature stores (Feast, Databricks, Hopswork, SageMaker, VertexAI).
• Previous experience deploying & managing ML models is beneficial.
• Experience working in a highly regulated environment or industry.

About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs.

About The Team Our Corporate Technology team relies on smart, driven people like you to develop applications and provide tech support for all our corporate functions across our network. Your efforts will touch lives all over the financial spectrum and across all our divisions: Global Finance, Corporate Treasury, Risk Management, Human Resources, Compliance, Legal, and within the Corporate Administrative Office. You’ll be part of a team specifically built to meet and exceed our evolving technology needs, as well as our technology controls agenda.